View source: R/biasCorrection.R
pqm | R Documentation |
Implementation of Parametric Quantile Mapping method for bias correction
pqm(o, p, s, fitdistr.args, precip, pr.threshold)
o |
A vector (e.g. station data) containing the observed climate data for the training period |
p |
A vector containing the simulated climate by the model for the training period. |
s |
A vector containing the simulated climate for the variable used in |
fitdistr.args |
Further arguments passed to function |
precip |
Logical for precipitation data. If TRUE Adjusts precipitation
frequency in 'x' (prediction) to the observed frequency in 'y'. This is a preprocess to bias correct
precipitation data following Themeßl et al. (2012). To adjust the frequency,
parameter |
pr.threshold |
The minimum value that is considered as a non-zero precipitation. Ignored when
|
S. Herrera and M. Iturbide
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